Rongwei Lu - RankMe

20 papers A* 4B 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enabling Trustworthy Recommendations in the Federated IoT: A Secure and Verifiable Tensor Learning Approach. IEEE Internet Things J. Rongwei Lu, Xuefeng Duan, Guoqiang Deng, Yong Ding
2025	J	`jnl`	Accelerating Parallel Diffusion Model Serving with Residual Compression. CoRR Jiajun Luo, Yicheng Xiao, Jianru Xu, Yangxiu You, Rongwei Lu, Chen Tang, Jingyan Jiang, Zhi Wang
2025	A*	`conf`	Beyond A Single AI Cluster: A Survey of Decentralized LLM Training. EMNLP Haotian Dong, Jingyan Jiang, Rongwei Lu, Jiajun Luo, Jiajun Song, Bowen Li, Ying Shen, Zhi Wang
2025	J	`jnl`	Beyond A Single AI Cluster: A Survey of Decentralized LLM Training. CoRR Haotian Dong, Jingyan Jiang, Rongwei Lu, Jiajun Luo, Jiajun Song, Bowen Li, Ying Shen, Zhi Wang
2025	J	`jnl`	Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing. IEEE Trans. Mob. Comput. Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang
2025	J	`jnl`	DeCo-SGD: Joint Optimization of Delay Staleness and Gradient Compression Ratio for Distributed SGD. CoRR Rongwei Lu, Jingyan Jiang, Chunyang Li, Haotian Dong, Xingguang Wei, Delin Cai, Zhi Wang
2025	B	`conf`	LLM4Band: Enhancing Reinforcement Learning with Large Language Models for Accurate Bandwidth Estimation. NOSSDAV Zhijian Wang, Rongwei Lu, Zhiyang Zhang, Cédric Westphal, Dongbiao He, Jingyan Jiang
2025	J	`jnl`	VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification Skipping. CoRR Haotian Dong, Ye Li, Rongwei Lu, Chen Tang, Shu-Tao Xia, Zhi Wang
2025	A*	`conf`	γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning. INFOCOM Rongwei Lu, Yutong Jiang, Jinrui Zhang, Chunyang Li, Yifei Zhu, Bin Chen, Zhi Wang
2025	J	`jnl`	γ-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning. CoRR Rongwei Lu, Yutong Jiang, Jinrui Zhang, Chunyang Li, Yifei Zhu, Bin Chen, Zhi Wang
2024	—	`conf`	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. Euro-Par (3) Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang
2024	J	`jnl`	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning. CoRR Jiajun Song, Jiajun Luo, Rongwei Lu, Shuzhao Xie, Bin Chen, Zhi Wang
2024	J	`jnl`	Cascade Clutter Suppression Method for Airborne Frequency Diversity Array Radar Based on Elevation Oblique Subspace Projection and Azimuth-Doppler Space-Time Adaptive Processing. Remote. Sens. Rongwei Lu, Yifeng Wu, Lei Zhang, Ziyi Chen
2024	—	`conf`	MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation. ECCV (33) Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang
2024	J	`jnl`	MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation. CoRR Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang
2024	A*	`conf`	Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CVPR Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu
2024	J	`jnl`	Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CoRR Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu
2024	J	`jnl`	Staleness-Centric Optimizations for Efficient Diffusion MoE Inference. CoRR Jiajun Luo, Lizhuo Luo, Jianru Xu, Jiajun Song, Rongwei Lu, Chen Tang, Zhi Wang
2023	A*	`conf`	DAGC: Data-Aware Adaptive Gradient Compression. INFOCOM Rongwei Lu, Jiajun Song, Bin Chen, Laizhong Cui, Zhi Wang
2023	J	`jnl`	DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing. CoRR Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang